SteadyGigs runs human evaluation and quality-assurance teams for companies building AI products. Start with a fixed-scope QA Sprint on your support agent: real conversations, graded against a rubric we build with you, inside your own tools.
A managed team you can talk to: we scope the work, calibrate reviewers, run QA on the output and report back, so you don't manage individual raters.
A fixed-scope paid pilot. We grade a defined sample of your real support conversations and hand back a findings report your team can act on.
After a sprint, keep a named team on the same rubric with a weekly QA report. Use them for regression checks when you ship new prompts, models or knowledge-base changes.
Talk about a pod →For AI data and evaluation companies that need a calibrated team for overflow or new projects, working to your guidelines inside your platform.
Discuss capacity →A 30-minute call to agree the sample, a first draft of the rubric and how we'll access your data.
Reviewers grade a small set together. Disagreements are settled and the rubric is locked before full grading starts.
The full sample is graded inside your tool, and a lead double-checks a share of every reviewer's work.
Findings, failure patterns and ranked fixes, then a walkthrough call with your team.
We're a new team and take a small number of sprints at a time, so each one gets close attention.
You work with one accountable vendor. We handle reviewer contracts, payment and tax paperwork on our side, wherever the team sits.
Tell us what your bot handles, roughly how many conversations a week, and where you trace them. We'll reply with a proposed sample and rubric outline. Please don't send customer data by email.